mongo {wizaRdry} | R Documentation |
Fetch data from MongoDB to be stored in a data frame
Description
Fetch data from MongoDB to be stored in a data frame
Usage
mongo(
collection_name,
...,
db_name = NULL,
identifier = NULL,
chunk_size = NULL,
verbose = FALSE,
interview_date = NULL
)
Arguments
collection_name |
The name of the MongoDB collection |
... |
Optional column names to filter for. Only rows with non-missing values in ALL specified columns will be returned. This is useful for filtering data to only include complete cases for specific variables of interest. |
db_name |
The database name (optional) |
identifier |
Field to use as identifier (optional) |
chunk_size |
Number of records per chunk (optional) |
verbose |
Logical; if TRUE, displays detailed progress messages. Default is FALSE. |
interview_date |
Optional; can be either: - A date string in various formats (ISO, US, etc.) to filter data up to that date - A boolean TRUE to return only rows with non-NA interview_date values |
Value
A data frame containing the MongoDB data with superkeys first
Examples
## Not run:
# Get data from MongoDB collection
data <- mongo("collection_name")
## End(Not run)
[Package wizaRdry version 0.2.6 Index]